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passionate about the Earth and its climate? Do you want to make a difference in science and the world? Do you get excited about satellite images and venturing out to remote places? This vacancy is part of a
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two crucial research questions: how do materials degrade in solution and solid phase, and what is the (extent of) correlation between these processes? While PhD candidates will design and apply new
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contribute toward establishing it as a research field. Your role in the project will be to lead the effort in: designing and implementing metrics to measure and evaluate different interconnected aspects
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addressed is: What are the synergies and trade-offs among different SMR and yield-enhancing practices at farm and landscape levels under current and future climate scenarios? By integrating literature, remote
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 18 May 2026 Apply now Contribute to one of the greatest
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 28 June 2026 Apply now Are you eager
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online learning platform with 100+ different courses; 7 weeks birth leave (partner leave) with 100% salary; partly paid parental leave; the possibility to set up a workplace at home; a pension at ABP for
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the regulatory interactions regulating suberin biosynthesis in different root cell types? And are you interested in combining gene expression analysis with developing new experimental methods, such as TurboCas
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algorithms to shape the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design
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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong